Research on Data Collection and Catastrophe Index Using Grey Relational Analysis

Baoxin Chen; Kan Chen; Xi Wang; Xu Wang

doi:10.1109/ICESIT53460.2021.9696710

Research on Data Collection and Catastrophe Index Using Grey Relational Analysis

Baoxin Chen, Kan Chen, Xi Wang, Xu Wang

Faculty of Humanities and Social Sciences

Xinjiang Uygur Autonomous Region Weather Modification Office

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Based on the flood disaster loss data during1980-2019 in various prefectures of Tarim Basin. Disaster loss indicators are: disaster area, collapsed house, deaths toll, dead livestock, collapsed shed. By calculating the catastrophe index and using the gray correlation analysis method to compare the risk level of disaster loss in each prefecture. Disaster loss of Aksu has the greatest correlation with the damage area. In Bazhou prefecture, it has the greatest correlation with the dead livestock. In Hotan prefecture, it has the greatest correlation with the collapsed shed. In Kashgar prefecture, it has the greatest correlation with the disaster area. And in Kezhou prefecture, it has the greatest correlation with the dead livestock. It should be noted that the correlation degree of dead livestock caused by floods in Kezhou prefecture and the correlation degree of collapsed shed caused by floods in Hotan prefecture are higher (R>0.8). The risk analysis of flood disaster loss in Tarim Basin is significant for disaster management.

Original language	English
Title of host publication	Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021
Editors	Guorong Chen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	903-905
Number of pages	3
ISBN (Electronic)	9781665435314
DOIs	https://doi.org/10.1109/ICESIT53460.2021.9696710
Publication status	Published - 2021
Event	2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021 - Chongqing, China Duration: 22 Nov 2021 → 24 Nov 2021

Publication series

Name	Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021

Conference

Conference	2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021
Country/Territory	China
City	Chongqing
Period	22/11/21 → 24/11/21

Keywords

Tarim Basin
catastrophe index
disaster loss
flood
grey relational analysis

Access to Document

10.1109/ICESIT53460.2021.9696710

Cite this

Chen, B., Chen, K., Wang, X., & Wang, X. (2021). Research on Data Collection and Catastrophe Index Using Grey Relational Analysis. In G. Chen (Ed.), Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021 (pp. 903-905). (Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICESIT53460.2021.9696710

Chen, Baoxin ; Chen, Kan ; Wang, Xi et al. / Research on Data Collection and Catastrophe Index Using Grey Relational Analysis. Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021. editor / Guorong Chen. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 903-905 (Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021).

@inproceedings{38bd9fdc2cfe41f3b0ac163f4ddbd001,

title = "Research on Data Collection and Catastrophe Index Using Grey Relational Analysis",

abstract = "Based on the flood disaster loss data during1980-2019 in various prefectures of Tarim Basin. Disaster loss indicators are: disaster area, collapsed house, deaths toll, dead livestock, collapsed shed. By calculating the catastrophe index and using the gray correlation analysis method to compare the risk level of disaster loss in each prefecture. Disaster loss of Aksu has the greatest correlation with the damage area. In Bazhou prefecture, it has the greatest correlation with the dead livestock. In Hotan prefecture, it has the greatest correlation with the collapsed shed. In Kashgar prefecture, it has the greatest correlation with the disaster area. And in Kezhou prefecture, it has the greatest correlation with the dead livestock. It should be noted that the correlation degree of dead livestock caused by floods in Kezhou prefecture and the correlation degree of collapsed shed caused by floods in Hotan prefecture are higher (R>0.8). The risk analysis of flood disaster loss in Tarim Basin is significant for disaster management.",

keywords = "Tarim Basin, catastrophe index, disaster loss, flood, grey relational analysis",

author = "Baoxin Chen and Kan Chen and Xi Wang and Xu Wang",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021 ; Conference date: 22-11-2021 Through 24-11-2021",

year = "2021",

doi = "10.1109/ICESIT53460.2021.9696710",

language = "English",

series = "Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "903--905",

editor = "Guorong Chen",

booktitle = "Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021",

address = "United States",

}

Chen, B, Chen, K, Wang, X & Wang, X 2021, Research on Data Collection and Catastrophe Index Using Grey Relational Analysis. in G Chen (ed.), Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021. Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021, Institute of Electrical and Electronics Engineers Inc., pp. 903-905, 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021, Chongqing, China, 22/11/21. https://doi.org/10.1109/ICESIT53460.2021.9696710

Research on Data Collection and Catastrophe Index Using Grey Relational Analysis. / Chen, Baoxin; Chen, Kan; Wang, Xi et al.
Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021. ed. / Guorong Chen. Institute of Electrical and Electronics Engineers Inc., 2021. p. 903-905 (Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on Data Collection and Catastrophe Index Using Grey Relational Analysis

AU - Chen, Baoxin

AU - Chen, Kan

AU - Wang, Xi

AU - Wang, Xu

PY - 2021

Y1 - 2021

N2 - Based on the flood disaster loss data during1980-2019 in various prefectures of Tarim Basin. Disaster loss indicators are: disaster area, collapsed house, deaths toll, dead livestock, collapsed shed. By calculating the catastrophe index and using the gray correlation analysis method to compare the risk level of disaster loss in each prefecture. Disaster loss of Aksu has the greatest correlation with the damage area. In Bazhou prefecture, it has the greatest correlation with the dead livestock. In Hotan prefecture, it has the greatest correlation with the collapsed shed. In Kashgar prefecture, it has the greatest correlation with the disaster area. And in Kezhou prefecture, it has the greatest correlation with the dead livestock. It should be noted that the correlation degree of dead livestock caused by floods in Kezhou prefecture and the correlation degree of collapsed shed caused by floods in Hotan prefecture are higher (R>0.8). The risk analysis of flood disaster loss in Tarim Basin is significant for disaster management.

AB - Based on the flood disaster loss data during1980-2019 in various prefectures of Tarim Basin. Disaster loss indicators are: disaster area, collapsed house, deaths toll, dead livestock, collapsed shed. By calculating the catastrophe index and using the gray correlation analysis method to compare the risk level of disaster loss in each prefecture. Disaster loss of Aksu has the greatest correlation with the damage area. In Bazhou prefecture, it has the greatest correlation with the dead livestock. In Hotan prefecture, it has the greatest correlation with the collapsed shed. In Kashgar prefecture, it has the greatest correlation with the disaster area. And in Kezhou prefecture, it has the greatest correlation with the dead livestock. It should be noted that the correlation degree of dead livestock caused by floods in Kezhou prefecture and the correlation degree of collapsed shed caused by floods in Hotan prefecture are higher (R>0.8). The risk analysis of flood disaster loss in Tarim Basin is significant for disaster management.

KW - Tarim Basin

KW - catastrophe index

KW - disaster loss

KW - flood

KW - grey relational analysis

UR - http://www.scopus.com/inward/record.url?scp=85126510268&partnerID=8YFLogxK

U2 - 10.1109/ICESIT53460.2021.9696710

DO - 10.1109/ICESIT53460.2021.9696710

M3 - Conference contribution

AN - SCOPUS:85126510268

T3 - Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021

SP - 903

EP - 905

BT - Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021

A2 - Chen, Guorong

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021

Y2 - 22 November 2021 through 24 November 2021

ER -

Chen B, Chen K, Wang X, Wang X. Research on Data Collection and Catastrophe Index Using Grey Relational Analysis. In Chen G, editor, Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 903-905. (Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021). doi: 10.1109/ICESIT53460.2021.9696710

Research on Data Collection and Catastrophe Index Using Grey Relational Analysis

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